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Record W2917403862 · doi:10.1080/17451000.2019.1577458

Parmales ecology in Magdalena Bay, Mexican Pacific coast

2018· article· en· W2917403862 on OpenAlexaff
Heriberto Rochín-Bañaga, Rafael Cervantes‐Duarte, Mara Y. Cortés, Felipe de Jesús García-Romero, A. Rodrı́guez

Bibliographic record

VenueMarine Biology Research · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsUniversity of Toronto
FundersConsejo Nacional de Ciencia y TecnologíaInstituto Politécnico Nacional
KeywordsBayUpwellingOceanographyPhytoplanktonNutrientEcologyEnvironmental scienceBiologyGeographyGeology

Abstract

fetched live from OpenAlex

Cell densities of Parmales (a group of siliceous marine phytoplankton) were determined in 81 water samples from depths of 0–60 m on a monthly basis from October 2009 and October 2010 in Magdalena Bay, Mexican Pacific coast. The highest cell densities of Parmales were recorded in sub-surface waters between 0 and 15 m water depth and reached maximum cell densities of up to 40 × 103 cells L−1 in July at 10 m depth. In total five Parmales species were identified: Triparma columacea f. columacea, T. retinervis f. retinervis, T. laevis f. mexicana, T. strigata and Tetraparma insecta. The present study suggests that cell densities of Parmales are associated with increased nutrient levels during the upwelling period from April to July.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.317
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2018
Admission routes1
Has abstractyes

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